DocumentCode :
2169865
Title :
Preprocessing Algorithms for Arabic Handwriting Recognition Systems
Author :
Boukerma, Hanene ; Farah, Nadir
Author_Institution :
Ecole Normale Super. de l´Enseignement Technol. (ENSET), Skikda, Algeria
fYear :
2012
fDate :
26-28 Nov. 2012
Firstpage :
318
Lastpage :
323
Abstract :
Preprocessing is one of basic phases of handwritten text recognition and it is crucial to reach high recognition rate. In this paper, we present several algorithms for Arabic handwritten text which are based on inherent properties of Arabic writing. These algorithms include noise removal and smoothing, diacritics detection, contour tracing/correction, baseline estimation, slope correction and detecting/correcting touching descenders. In first stage of propositions validation, each presented method is individually tested on the commonly used IFN/ENIT database. Then, the influence of the presented algorithms on the recognition rate is studied based on K-NN classifier and hybrid features. The obtained results show the efficiency of the proposed algorithms and their positive impact on features discrimination and recognition performance.
Keywords :
handwriting recognition; handwritten character recognition; image classification; text detection; Arabic handwriting text recognition system preprocessing algorithms; Arabic writing; IFN/ENIT database; K-NN classifier; baseline estimation; contour correction; contour tracing; diacritics detection; feature discrimination; hybrid features; noise removal; noise smoothing; recognition rate; slope correction; touching descender correction; touching descender detection; Arabic handwriting; baseline; diacritics; preprocessing; segmentation of touching descenders; slope correction; subword;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Science Applications and Technologies (ACSAT), 2012 International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-5832-3
Type :
conf
DOI :
10.1109/ACSAT.2012.59
Filename :
6516373
Link To Document :
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